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Topic

Technologies and technical equipment for agriculture and food industry

Volume

Volume 70 / No. 2 / 2023

Pages : 379-390

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DESIGN AND EXPERIMENT OF FILM LAYING QUALITY MONITORING SYSTEM FOR COTTON PRECISION PLANTER

棉花精量播种机铺膜质量监测系统设计与试验

DOI : https://doi.org/10.35633/inmateh-70-37

Authors

Shenghe BAI

China Agricultural University

(*) Yanwei YUAN

China Agricultural University

Gaoyong XING

China Agricultural University

Liang WEI

Chinese Academy of Agricultural Mechanization Sciences Group Co., Ltd

Kang NIU

Chinese Academy of Agricultural Mechanization Sciences Group Co., Ltd

Liming ZHOU

Chinese Academy of Agricultural Mechanization Sciences Group Co., Ltd

Bo ZHAO

Chinese Academy of Agricultural Mechanization Sciences Group Co., Ltd

Liguo WEI

Chinese Academy of Agricultural Mechanization Sciences Group Co., Ltd

Lijing LIU

Chinese Academy of Agricultural Mechanization Sciences Group Co., Ltd

(*) Corresponding authors:

[email protected] |

Yanwei YUAN

Abstract

To realize real-time monitoring of film laying process of cotton precision planter and improve intelligent level of cotton precision planter, based on advanced morphological filtering method and graphical programming of Labview software, a film laying quality monitoring system of cotton precision planter is designed. Using the Vision Assistant visual assistant, the system uses a color extraction function to convert colors to grayscale images. It uses LOOKup Table function and FFT filter function to perform grayscale transformation, binarization and advanced morphological filtering on it respectively. It then uses basic morphology to acquire various components in the plastic film image. It realizes the monitoring of parameters such as the width of the daylighting surface, the side length or seam length of the mechanical damaged part, and the width of the film edge covering soil. The performance test results of the film laying quality monitoring system showed that the system worked stably and reliably, the average monitoring accuracy of the width of the lighting surface and the width of the film edge covering soil reached more than 95%, and the average monitoring accuracy of the side length or the length of the seam at the mechanical damage part reached more than 88%. It solved the problems of difficulty in recognizing the similarity between the plastic film and the background interferer (soil, etc.) and could accurately detect the quality of the cotton film in real time. It effectively improved the operation quality and working efficiency of the cotton precision planter and met the practical requirements of film laying monitoring.

Abstract in Chinese

为了实现棉花精量播种机铺膜作业过程的实时监测,提高棉花精量播种机智能化水平,基于高级形态学滤波方法,采用Labview软件图形化编程,设计了棉花精量播种机铺膜质量监测系统。系统运用Vision Assistant视觉助手,使用颜色提取函数将彩色转换为灰度图像,通过LOOKup Table函数和FFT滤波函数分别对其进行灰度变换、二值化与高级形态学滤波,再运用基本形态学获取地膜图像中的各个成分,实现对采光面宽度、机械破损部位的边长或缝长、膜边覆土宽度等参数监测。铺膜质量监测系统台架性能试验结果表明:该系统工作稳定可靠,采光面宽度、膜边覆土宽度平均监测精度达到95%以上,机械破损部位的边长或缝长平均监测精度达到88%以上,解决了地膜与背景干扰物(土壤等)相近识别难度大等问题,能实时准确地检测棉花铺膜质量,有效提高了棉花精量播种机的作业质量和工作效率,满足铺膜监测实际要求。

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